Remote Data Engineer - ETL, SQL & Airflow Expert

Agileengine; Rosarito; Presencial; MXN 480.000 - 700.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

Remote work 100%

Modern projects with global teams

Collaborative culture

Well-being programs

Descripción de la vacante

AgileEngine, a leader in software development, seeks a Data Engineer to own ETL pipelines powering analytics for colleges and universities. You will design and maintain data workflows using SQL, Python, and Apache Airflow, moving data into a cloud data warehouse and adapting shared pipelines for clients while keeping code clean.

Join a distributed team delivering modern data solutions with a strong emphasis on collaboration and quality. Remote work with flexible hours is supported.

Formación

• 3-4 years of experience in data engineering or closely related software engineering role.

Responsabilidades

• Design, build, and maintain ETL pipelines and data workflows across development, staging, and production environments.
• Implement and extend data models and datasets to support analytical and reporting needs.
• Adapt and customize shared data pipelines for individual clients while keeping code clean and reusable.
• Monitor and support production data pipelines, investigate failures, and deliver fixes promptly.
• Write and maintain database DDL, data validation queries, and deployment scripts.
• Contribute to platform modernization initiatives, including infrastructure upgrades and new data technologies.
• Collaborate with client teams, analysts, and stakeholders to gather requirements and deliver solutions.

Conocimientos

SQL

Python

Airflow

ETL patterns

Data modeling

Cloud data warehouse

Git

Docker

English

Herramientas

GitHub/GitLab/Bitbucket

Docker Compose

Airflow DAGs

Descripción del empleo

AgileEngine, a leader in software development, seeks a Data Engineer to own ETL pipelines powering analytics for colleges and universities. You will design and maintain data workflows using SQL, Python, and Apache Airflow, moving data into a cloud data warehouse and adapting shared pipelines for clients while keeping code clean.

Join a distributed team delivering modern data solutions with a strong emphasis on collaboration and quality. Remote work with flexible hours is supported.